How to Manage AI Memory Effectively MCP servers

"How to Manage AI Memory Effectively" matching MCP servers:

• How-To-Cook

  xiaobenyang-com

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  An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

  Last updated 24 days ago

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  1

  Apache 2.0

• MCP AI Memory

  scanadi

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  Enables AI agents to store, retrieve, and manage contextual knowledge across sessions using semantic search with PostgreSQL and vector embeddings. Supports memory relationships, clustering, multi-agent isolation, and intelligent caching for persistent conversational context.

  Last updated 2 months ago

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  42

  MIT

• Open AI Text To Speech1 MCP

  BACH-AI-Tools

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  Enables users to convert text into high-quality audio by accessing the OpenAI Text-to-Speech API. It supports customizable model selection and voice options for synthesized speech generation via the MCP protocol.

  Last updated 2 months ago

  MIT

• Skill-to-MCP

  biocontext-ai

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  Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

  Last updated 3 months ago

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  Apache 2.0

• Memory MCP

  HamzaFarhan

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  A knowledge-graph-based memory system for AI agents that enables persistent information storage between conversations.

  Last updated 8 months ago

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• AI Context Memory

  rdone4425

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  An MCP server enabling AI assistants to store, retrieve, and manage contextual information across conversations with features like persistent memory, advanced search, tagging, and privacy controls.

  Last updated 6 months ago